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Backend.AI vs TORQUE Resource Manager

Backend.AI

6.3#4 in gpu cluster management softwareFree plan
Free planWebAPILinuxSelf-hosted
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What both publish

FactBackend.AITORQUE Resource Manager
InstallationThe installation page offers operating-system and architecture selectors for downloading installation files.TORQUE is built from source with configure and make, and the install instructions describe RPM and self-extracting package creation.
PurposeBackend.AI is an AI infrastructure platform for building, training, and serving models and running parallel computing jobs.TORQUE is an open-source resource manager and queue manager based on the original PBS resource manager.
SupportLablup invites organizations to contact its team for help planning AI clusters and scaling production workloads.The project README directs questions and contributions to the [email protected] mailing list.

Backend.AI plans

  • Open-sourceFree
  • Try-outFree
  • Enterprise (cloud)Priced on request
  • Enterprise (on-premises)Priced on request

TORQUE Resource Manager plans

  • TORQUE Resource ManagerFree

Pick Backend.AI if…

Backend.AI suits teams or institutions running GPU workloads, from single-GPU home use to larger clusters. It also fits organizations seeking on-premises, cloud, hybrid, or air-gapped deployment options.

Pick TORQUE Resource Manager if…

TORQUE is intended for administrators managing compute clusters who can build and deploy self-hosted software. Its source-based installation and client authorization requirements are relevant when planning setup.

Charts they share